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020			_a9789813360815
024	7		_a10.1007/978-981-33-6081-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	1	0	_aIntelligent Systems : _bProceedings of ICMIB 2020 _cedited by Siba K. Udgata, Srinivas Sethi, Satish N. Srirama.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XXXI, 575 páginas) _b297 ilustraciones, 220 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Networks and Systems _x2367-3389 _v185
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. An approach for Heart Disease Prediction using Machine Learning -- Chapter 2. Low Cost Smart Solar DC Nano-grid for Isolated Rural Electrification: Cyber Physical System Design and Implementation -- Chapter 3. Global Path Optimization of Humanoid Nao in Static Environment using Prim's Algorithm -- Chapter 4. Weather Prediction Using Hybrid Soft Computing Models -- Chapter 5. FindMoviez: A Movie Recommendation System -- Chapter 6. Active Filter with 2-Fuzzy Intelligent Controller: A Solution to Power Quality Problem -- Chapter 7. Analysis of Covid Confirmed and Death Cases using different ML Algorithms -- Chapter 8. How good are classification models in handling dynamic intrusion attacks in IoT? -- Chapter 9. Sediment rating curve and sediment concentration estimation for Mahanadi River -- Chapter 10. An Energy Efficient Routing with Particle Swarm Op-timization and Aggregate Data for IOT enabled Software Defined Networks.
520	3		_aThis book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human-computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
988			_aSpringer_Robotics_2021
650		7	_2embne _9166090 _aAprendizaje automático
700			_aUdgata, Siba K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100568
700			_aSethi, Srinivas _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682027
700	1		_aSrirama, Satish Narayana, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682028 _d1978-
776	0	8	_iPrinted edition: _z9789813360808
776	0	8	_iPrinted edition: _z9789813360822
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6081-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE